The 5th International Conference on Energy and Green Computing
December 3-4, 2026 | Faculty of Sciences, Ibn Zohr University, Agadir
Morocco
Morocco
Paper Submission Deadline : July 20, 2026
About ICEGC
2026
Technical Sponsor
The extended versions of selected papers will be submitted for publication in indexed Journals :
The International Conference on Energy and Green Computing (ICEGC) focusing on the latest researches, developments, advances and new technologies in the fields of Energy Engineering, Engineering Technologies, IT Energy-aware Technologies, Green ICT Systems and Green Computing. The conference aims to disseminate novel ideas and emerging trends, research results and practical achievements. Original and high quality contributions are solicited, including theories, applications and experiments. The ICEGC is an opportunity to network, build up partnerships and exchange ideas with a variety of experienced researchers, developers and practitioners from several universities, research institutes, and academia.
Technical Sponsor
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Useful Links
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Conference Proceedings Citation
Index
Accepted and presented papers will be published into
E3S Web of Conferences
, which will be submitted for indexation by
SCOPUS, Web of Science (Thomson Reuters), Ei Compendex,
CAS, DOAJ, CPCI, EBSCO, ProQuest
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- International Journal of Power and Energy Conversion (SCOPUS Indexed Journal )
- International Journal of Advanced Technology and Engineering Exploration (SCOPUS Indexed Journal )
- Other Journals will be announced soon
Previous edition
ICEGC’2025 Proceeding is published in E3S Web of Conferences (Volume 680), available Here.
ICEGC’2024 Proceeding is published in E3S Web of Conferences (Volume 601), available Here.
ICEGC’2023 Proceeding is published in E3S Web of Conferences (Volume 469), available Here.
ICEGC’2021 Proceeding is published in E3S Web of Conferences (Volume 336), available Here.
List of Topics
Original papers are solicited in subjects including, but not limited to the following:
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Energy Engineering
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Green
Computing
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Chemical Engineering
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Environmental Engineering
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Important Dates |
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Keynote Speakers
 Prof. Houcine Chafouk University of Rouen Normandy, France houcine.chafouk@gmail.com Keynote Title Health Monitoring Systems for the Smart MicroGrid Short Bio
Professor Houcine Chafouk is an IEEE senior member, he is a professor at ESIGELEC and a researcher at IRSEEM/University of Rouen Normandy, France, obtained a PhdD in automation at the University of Nancy, Lorraine, France in 1990, then he joined the same year the school of engineers ESIGELEC, Rouen. From 2000 to 2008, he held the position of research director and head of the research team in (A&S) Automation and Systems. Since 2000, he has supervised around thirty doctoral students, post-doctoral students and HDRs who carried out their research within IRSEEM or with international partners. He also participated in around forty thesis juries as rapporteur and examiner at national and international level. Author and co-author of more than 200 research articles (publications and communications) in the areas of advanced control systems, diagnostics and fault-tolerant control applied to the fields of renewable energy, automotive and aerospace.
https://orcid.org/0000-0002-6683-0010 https://scholar.google.fr/citations?user=ekWmkLgAAAAJ Abstract
The HM-SMG project aims to strengthen European-African scientific collaboration through a sustainable and fruitful partnership. This topic provides a framework conducive to intensive scientific exchanges and brings together experts to address global energy challenges. Europe and Africa share a strategic interest in the development and use of renewable energies.
Africa has a real need for access to energy for its populations. Several areas are not served by the electricity grid. In others, the population is subject to a significant number of outages and poor-quality power. These unreliable networks are a major obstacle to economic and social development. An obvious solution for providing access to electricity in isolated areas is grid extension. However, the further the isolated area is from existing infrastructure and the lower the population density, the higher the cost of grid extension. Off-grid electrification is therefore an attractive alternative. There are two main categories of off-grid electrification solutions:
The HM-SMG project draws on the complementary expertise of its partners to address the challenges of the energy transition and develop innovative solutions in the field of renewable energies. This project aims to conduct an in-depth technical study for the industrial scaling of a hybrid, smart, and multi-source energy ecosystem. Designed as an advanced microgrid, this ecosystem combines renewable energy sources (solar, wind) and a battery bank. Thanks to its management intelligence, it optimizes the production, storage and use of energy to meet the needs of the population. Isolated microgrids play a vital role in electrifying remote areas and supporting critical infrastructure. However, their management remains complex due to the intermittency of renewable sources, the lack of real-time monitoring, and high maintenance costs. The HM-SMG project proposes an innovative approach by combining artificial intelligence (AI), the Internet of Things (IoT), and a hybrid Edge-Cloud architecture to optimize the reliability, resilience, and energy efficiency of these systems. The main objective is to develop an intelligent monitoring platform enabling continuous monitoring, advanced predictive maintenance, and optimal energy management adapted to load and production fluctuations. This platform will ensure a modular and interoperable architecture, facilitating its integration with various infrastructures and communication technologies. These advances will help reduce operating costs, improve service continuity, and optimize the use of local energy resources. The project is organized into seven interconnected work packages to ensure efficient execution and optimal collaboration between partners. The project relies on multidisciplinary collaboration involving various stakeholders. Academic partners will develop the models and algorithms, while industrial companies will ensure the integration and deployment of the solution. As part of the AU-EU research and innovation partnership on climate change and sustainable energy, HM-SMG will contribute to rural electrification and the energy transition by optimizing the management of hybrid microgrids. It will reduce operating costs through automation and predictive maintenance, while enhancing infrastructure reliability and minimizing interruptions. The social impact will be significant, with a focus on strengthening local skills and the inclusion of women in research and training activities. By offering a replicable and scalable model, the project aims to make a major contribution to energy resilience and sustainability on an international scale. |
 Prof. Mohammed CHADLI Full Professor University Paris-Saclay Evry, IBISC-UEVE Evry, France mchadli20@gmail.com Keynote Title Filter Design and Fault Diagnosis Applications Short Bio
Mohammed Chadli received his M.Sc (DEA) from the Engineering School INSA-Lyon (France, 1999) and from “Ecole Normale Sup.” (Mohammedia, Morocco), the Ph.D. thesis in Automatic Control from the University of Lorraine (UL), CRAN-Nancy in 2002. He was Lecturer and Assistant Professor at the “Institut National Polytechnique de Lorraine” (UL, 2000-2004). Since 2004, he was Associate Professor at the University of Picardie and is currently a Full Professor at the University Paris-Saclay Evry, IBISC Lab., France. He was a visiting professorship at the TUO-Ostrava (Czech Rep.), UiA (Norway), SMU-Shanghai (2014-2017), NUAA-Nanjing (2018-2024), and the University of Naples Federico II (Italy, 2019).
Dr. Chadli’s research interests include filtering and control problems (FDI, FTC) and applications to vehicle systems, intelligence systems, network systems, and cyber-physical systems. He is the author of books and book chapters (Wiley, Springer, Hermes), numerous articles published in international refereed journals and conference proceedings. Dr. Chadli is a senior member of IEEE. He is on the editorial board (Editor, Associate Editor) of several international journals, including the IEEE Transactions on Fuzzy Systems, Automatica, the IET Control Theory and Applications, the Franklin Institute Journal, Asian Journal of Control … and was a Guest Editor for Special Issues in international journals and the Vice Dean of the Faculty of Sciences and Technologies (Univ Evry Paris-Saclay). He now serves as the Chair of the IEEE France Section Control Systems Society Chapte, and listed in “100 000 Leading Scientists in the World” Abstract
This talk proposes some results on methods of fault detection filter synthesis, and observer design, for a class of nonlinear systems. Observer-based LMI synthesis methods for T-S systems subjected to unknown inputs are presented. Subsequently, multi-objective synthesis problem is discussed in FDI framework. When we are interested in these problems in finite frequency domains, these classic techniques (in infinite frequency domains) become quite restrictive. Indeed, the problem of multi-objective synthesis in the finite frequency domain is addressed. In a fault diagnosis context, the generated residue must be as sensitive as possible to faults and as robust as possible against unknown perturbations by means of two finite frequency performance indices such as the H_ and H∞ indexes.
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 Prof. Nawras Shatnawi Al-Balqa Applied University, Jordan Keynote Title AI-based Modeling of Urban Morphology and Green Infrastructure in Mitigating Thermal Stress Short Bio
Prof. Nawras Shatnawi is a Full Professor and Director of International Projects at Al-Balqa Applied University, and a senior research and innovation leader with over 20 years of experience in scientific research governance, international cooperation, and applied geospatial analytics.
He holds a PhD in Geodesy and Geoinformation from Karlsruhe Institute of Technology, Germany, and has established a distinguished career at the intersection of artificial intelligence, GIS, remote sensing, and environmental modeling. His work focuses on translating advanced computational and geospatial technologies into practical solutions that support infrastructure resilience, climate adaptation, and sustainable urban development. Prof. Shatnawi has led and managed numerous large-scale, donor-funded research and innovation programs supported by international organizations. He has served as Principal Investigator and Project Director on multiple international initiatives addressing climate resilience, digital transformation, and green innovation, including AI-driven early warning systems and Earth observation platforms for sustainable development. In addition to his academic and research roles, Prof. Shatnawi plays a key role in advancing research policy, fostering international partnerships, and promoting the translation of scientific research into impactful, real-world applications. His work continues to contribute to the development of smarter, more resilient, and climate-responsive cities. |
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